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Dataset Open Access

Crowdsourced WiFi database and benchmark software for indoor positioning

Lohan, Elena Simona; Torres-Sospedra, Joaquin; Richter, Philipp; Leppäkoski, Helena; Huerta, Joaquin; Cramariuc, Andrei


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    <subfield code="a">&lt;p&gt;This dataset contains two Wi-Fi databases (one for training and one for test/estimation purposes in indoor positioning applications), collected in a crowdsourced mode (i.e., via 21 different devices and different users), together with a benchmarking utility software (in Matlab and Python) to illustrate various algorithms of indoor positioning based solely on WiFi information (MAC addresses and RSS values). &lt;/p&gt;

&lt;p&gt;The data was collected in a 4-floor university building in Tampere, Finland,  during Jan-Aug 2017 and it comprises 687 training fingerprints and 3951 test or estimation fingerprints.&lt;/p&gt;

&lt;p&gt;The dataset and/or the associated software are to be cited as follows:&lt;/p&gt;

&lt;p&gt;E.S. Lohan, J. Torres-Sospedra, P. Richter, H. Leppäkoski, J. Huerta, A. Cramariuc, “Crowdsourced WiFi-fingerprinting database and benchmark software for indoor positioning”, Zenodo repository, DOI 10.5281/zenodo.889798&lt;/p&gt;

&lt;p&gt;A detailed description of our data can be found here:&lt;/p&gt;

&lt;p&gt;Lohan, Elena Simona, Torres-Sospedra, Joaquín, Leppäkoski, Helena, Richter, Philipp, Peng, Zhe, Huerta, Joaquín&lt;br&gt;
"Wi-Fi Crowdsourced Fingerprinting Dataset for Indoor Positioning", MDPI Data journal, 16 pages, doi:10.3390/data2040032, http://www.mdpi.com/2306-5729/2/4/32&lt;/p&gt;

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